Lead Power Electronic Systems Modelling Engineer

Job Description Summary

The Power Electronic Systems Modelling Engineer will be responsible for creating, validating, and implementing sophisticated models of power electronic systems, converter-based architectures, and their interactions with electrical machines and power networks. This role requires a comprehensive system-level understanding of operational environments, encompassing the integration of multiple electric drive systems such as power converters, electric motors, dynamic loads, and the interplay among these components within unified systems.

Key responsibilities include high-fidelity modelling, control system development, and simulation of DC and AC power systems. A profound understanding of converter technologies and electric drives is essential, with model fidelity tailored to system- and component-level analysis requirements. The position requires the application of analytical approaches combined with expert modelling practices to guarantee the accuracy, scalability, and relevance of simulation outcomes.

The ideal candidate will possess robust analytical skills alongside a thorough understanding of power electronics, control systems, and electrical systems to foster innovation and optimize system-level performance.

Modelling Design: Determine the necessary system-level information and design the appropriate level of modelling fidelity for electrical, mechanical, and thermal components. Ensure that the chosen modelling approach aligns with the targeted system analysis objectives.

System-Level Model Implementation: After defining system-level information requirements and appropriate modelling fidelity, implement system-level models using advanced modelling tools such as MATLAB/Simulink, PLECS, ANSYS Twin Builder, PSCAD, and DIgSILENT Power Factory. Manage data exchange and coupling between different simulation environments as needed.

High-Fidelity Dynamic Model Development: Create detailed and high-fidelity dynamic models of power electronic converter systems, electrical machines, and power systems using cutting-edge modelling tools like MATLAB/Simulink, PLECS, ANSYS Maxwell, PSCAD, and DIgSILENT Power Factory.

System-Level Studies and Analysis: Conduct system-level studies of the developed models, including analytical evaluation of steady-state results to verify model correctness and selected fidelity levels. Apply control theory principles to analyze transient system behavior across electrical components, assessing the impact of high converter penetration on grid stability, harmonic distortion, transient response, and control interactions.

Converter Control Strategy Modelling: Investigate and model various converter control strategies (dc & ac grids, current/voltage control, droop control, grid-forming and grid-following control, active and reactive power management). Ensure appropriate control execution timing and sequencing at both unit and system levels to guarantee smooth system operation and compliance with overall system requirements.

Model Development for Different Analysis Layers: Develop reduced-order and high-fidelity models suitable for various analysis layers, ranging from control design to large-scale power network simulations.

Multi-MW Converter System Design and Optimization: Support the design and optimization of multi-MW converter systems, ensuring accurate representation of electromagnetic, thermal, and dynamic behaviours.

Control & Simulation Development

• Design, implement, and validate control algorithms for system‑level integration models of converter based systems, integrating machine dynamics and DC & AC grid behaviour to ensure optimum operation and analyse control interactions among multiple control algorithms governing different system components.
• Carry out time‑domain, frequency‑domain, and stability analyses to assess performance of system under various operational conditions.
• Develop digital twin models and real‑time simulation frameworks to support hardware‑in‑the‑loop (HIL) and software‑in‑the‑loop (SIL) testing, aligned with defined test cases to evaluate system performance under representative…